Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Google Colab for Deep Learning
- Overview of Google Colab
- Setting up Google Colab
- Navigating the Google Colab interface
Introduction to Deep Learning
- Overview of deep learning
- Importance of deep learning
- Applications of deep learning
Understanding Neural Networks
- Introduction to neural networks
- Architecture of neural networks
- Activation functions and layers
Getting Started with TensorFlow
- Overview of TensorFlow
- Setting up TensorFlow in Google Colab
- Basic TensorFlow operations
Building Deep Learning Models with TensorFlow
- Creating neural network models
- Training neural networks
- Evaluating model performance
Advanced TensorFlow Techniques
- Implementing convolutional neural networks (CNNs)
- Implementing recurrent neural networks (RNNs)
- Transfer learning with TensorFlow
Data Preprocessing for Deep Learning
- Preparing datasets for training
- Data augmentation techniques
- Handling large datasets in Google Colab
Optimizing Deep Learning Models
- Hyperparameter tuning
- Regularization techniques
- Model optimization strategies
Collaborative Deep Learning Projects
- Sharing and collaborating on notebooks
- Real-time collaboration features
- Best practices for collaborative projects
Tips and Best Practices
- Effective deep learning techniques
- Avoiding common pitfalls
- Enhancing model performance
Summary and Next Steps
Requirements
- Basic knowledge of machine learning
- Experience with Python programming
Audience
- Data scientists
- Software developers
14 Hours
Testimonials (3)
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Course - Natural Language Processing with TensorFlow
Many practical tips
Pawel Dawidowski - ABB Sp. z o.o.
Course - Deep Learning with TensorFlow
Machine Translated
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
